Abstract
The MIDAS consortium is a partnership involving health authorities, and technical big data experts from universities, research institutions, MNCs and SMEs across six EU countries (UK (NI and England), Ireland, Belgium, Finland, Spain and Slovenia), and the USA. The management of big data for 'health in all' poses a significant challenge for health policy makers. This challenge is addressed by the MIDAS project through the development of an integrated solution enabling knowledge liberation from data silos and unification of heterogeneous big data sources that can provide evidence-based actionable information and transform the way care is provided.
Original language | English |
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Title of host publication | IEEE 32nd International Symposium on Computer-Based Medical Systems |
Subtitle of host publication | CBMS 2019 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 104-105 |
ISBN (Electronic) | 978-117281-2286-1 |
ISBN (Print) | 978-1-7281-2287-8 |
DOIs | |
Publication status | Published - Jun 2019 |
MoE publication type | A4 Article in a conference publication |
Event | 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019: CBMS 2019 - Cordoba, Spain Duration: 5 Jun 2019 → 7 Jun 2019 |
Publication series
Series | IEEE International Symposium on Computer-Based Medical Systems |
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ISSN | 2372-918X |
Conference
Conference | 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019 |
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Country/Territory | Spain |
City | Cordoba |
Period | 5/06/19 → 7/06/19 |
Funding
This project has received funding from the European Union’s Horizon 2020 programme “PM-18 Big Data Supporting Public Health Policies”, under Grant Agreement No. 727721 (H2020-SC1-2016-CNECT SC1-PM-18-2016).
Keywords
- Big data
- Data analytics
- Health policy
- User-centred design
- Visualisation